TY - JOUR
T1 - Structural brain architectures match intrinsic functional networks and vary across domains
T2 - A study from 15000+ individuals
AU - Luo, Na
AU - Sui, Jing
AU - Abrol, Anees
AU - Turner, Jessica A.
AU - Damaraju, Eswar
AU - Fu, Zening
AU - Fan, Lingzhong
AU - Chen, Jiayu
AU - Lin, Dongdong
AU - Zhuo, Chuanjun
AU - Xu, Yong
AU - Glahn, David C.
AU - Rodrigue, Amanda L.
AU - Banich, Marie T.
AU - Pearlson, Godfrey D.
AU - Calhoun, Vince D.
N1 - Publisher Copyright:
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/12/19
Y1 - 2019/12/19
N2 - Brain structural networks have been shown to consistently organize in functionally meaningful architectures covering the entire brain. However, to what extent brain structural architectures match the intrinsic functional networks in different functional domains remains under explored. In this study, based on independent component analysis, we revealed 45 pairs of structural-functional (S-F) component maps, distributing across 9 functional domains, in both a discovery cohort (n=6005) and a replication cohort (UK Biobank, n=9214), providing a well-match multimodal spatial map template for public use. Further network module analysis suggested that unimodal cortical areas (e.g. somatomotor and visual networks) indicate higher S-F coherence, while heteromodal association cortices, especially the frontoparietal network (FPN), exhibit more S-F divergence. Collectively, these results suggest that the expanding and maturing brain association cortex demonstrates a higher degree of changes compared to unimodal cortex, which may lead to higher inter-individual variability and lower S-F coherence.
AB - Brain structural networks have been shown to consistently organize in functionally meaningful architectures covering the entire brain. However, to what extent brain structural architectures match the intrinsic functional networks in different functional domains remains under explored. In this study, based on independent component analysis, we revealed 45 pairs of structural-functional (S-F) component maps, distributing across 9 functional domains, in both a discovery cohort (n=6005) and a replication cohort (UK Biobank, n=9214), providing a well-match multimodal spatial map template for public use. Further network module analysis suggested that unimodal cortical areas (e.g. somatomotor and visual networks) indicate higher S-F coherence, while heteromodal association cortices, especially the frontoparietal network (FPN), exhibit more S-F divergence. Collectively, these results suggest that the expanding and maturing brain association cortex demonstrates a higher degree of changes compared to unimodal cortex, which may lead to higher inter-individual variability and lower S-F coherence.
KW - Heteromodal association cortex
KW - Independent component analysis (ICA)
KW - Intrinsic brain networks
KW - MRI
KW - Structure-function coherence
KW - Unimodal cortex
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U2 - 10.1101/2019.12.17.879502
DO - 10.1101/2019.12.17.879502
M3 - Article
AN - SCOPUS:85095630244
SN - 0309-1708
JO - Unknown Journal
JF - Unknown Journal
ER -